Calculates the wear level of a machine component based on hours of use.
This algorithm takes as input the number of hours a certain component has been used, typically you can use the Working Time. Based on standard usage plus a tolerance it returns the wear value reached, which is saved together with the new total of working hours.
An insight metric based on this algorithm is calculated daily, so the input usage metric must provide the amount of working time in milliseconds, during the previous day.
For more details about the Wear Computation topic, you can explore the Servitly Academy.
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Algorithm Configuration
To use this Algorithm, you need to:- Go to the Insight / Insight Metrics page.
- Select the Thing Definitions tab.
- Select the Thing Definition where to create the insight metric.
- Click the Add Metric button.
- Select the Time-based Wear Computation algorithm.
- Configure the Algorithm required inputs.
- Select the output you want to compute.
Here is the list of inputs required by this Algorithm.
| INPUTS | |
|---|---|
| Usage Time Metric | The metric provising the daily usage time in milliseconds. Type: METRIC | Mandatory | Default: Working Time | Dataset Range: Last 24 hours |
Here is the list of outputs provided by this Algorithm.
| OUTPUTS | |
|---|---|
| Usage | The reached usage since the last replacement. Type: FLOAT |
| Wear | The reached wear level since the last replacement. Type: FLOAT |
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